Artificial Intelligence

Researchers examine which approaches are most effective at reducing COVID-19 spread

Researchers have found that physical distancing is universally effective at reducing the spread of COVID-19, while social bubbles and masks are more situation-dependent. The researchers developed a model to test the effectiveness of measures such as physical distancing, masks or social bubbles when used in various settings. https://www.sciencedaily.com/releases/2020/11/201120150726.htm

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